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Based On Mathematical Morphology Of The Handwritten Chinese Character Recognition

Posted on:2009-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhaoFull Text:PDF
GTID:2178360242490884Subject:Computer applications
Abstract/Summary:PDF Full Text Request
Chinese Character Recognition is an important branch of pattern recognition, text recognition is also the most difficult issues, it involves pattern recognition, image processing, digital signal processing, and other disciplines, is an integrated technology, the Chinese information processing, office automation, artificial Smart, and other fields, have a useful and important theoretical significance. Offline handwritten Chinese character recognition of the complexity of their own, making the system is very difficult to achieve, not very mature product, is a question to the development of technology, it has become a hot research at home and abroad.Feature extraction is the Chinese character recognition process of the most important link to quickly extract stable and reliable and can fully describe the characteristics of Chinese character patterns, hand-written Chinese character recognition is the key. Is the analysis of mathematical morphology geometric shape and structure of the mathematical method, is built on the collection on the basis of algebra, and set theory describes the collection of quantitative methods of science.This article proposes one kind take mathematics morphology as the foundation Chinese character feature extraction new method. It improves and uses the morphology the fundamental operation, does not need to carry on operations and so on pretreatment to the original image, to writes by hand the block letter Chinese character primitive image to carry on processing directly, withdraws the stable effective stroke direction characteristic. It has the complete mathematical theory foundation, does not need to carry on the pretreatment to the original character image, operations and so on refinement, saved the system expenses greatly, has a bigger superiority in the operating speed aspect compared to other feature extraction algorithm. Using the above method extraction's various directions pen section, the pen section is clearer, in which pen section in any case, basic can achieve the block letter Chinese character"horizontal even vertical"the effect, based on this, uses the pen section point of intersection which in any case obtains, the pen section's statistical error does in any case for the thick classified standard, obtains the pen section coded sequence again according to the beginning position, carries on the match with the standard block letter's pen section code sequence, thus obtains the recognition result, the experiment proves this method the validity.
Keywords/Search Tags:Off-line handwritten form Chinese character recognition, Mathematics morphology, Four directions to pen section, In any case pen section point of intersection, Pen section sequential coding, Match
PDF Full Text Request
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